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Titlebook: An Introduction to Mathematical Epidemiology; Maia Martcheva Textbook 2015 Springer Science+Business Media New York 2015 Data Fitting.Epid

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31#
發(fā)表于 2025-3-27 00:58:33 | 只看該作者
32#
發(fā)表于 2025-3-27 04:00:58 | 只看該作者
33#
發(fā)表于 2025-3-27 05:43:15 | 只看該作者
34#
發(fā)表于 2025-3-27 12:16:04 | 只看該作者
35#
發(fā)表于 2025-3-27 15:53:38 | 只看該作者
Textbook 2015es for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models..
36#
發(fā)表于 2025-3-27 21:48:58 | 只看該作者
37#
發(fā)表于 2025-3-28 01:03:10 | 只看該作者
38#
發(fā)表于 2025-3-28 03:58:15 | 只看該作者
https://doi.org/10.1007/978-3-642-50928-5 their basic mathematical properties. Furthermore, the chapter includes and discusses a Lotka–Volterra predator–prey model with disease in prey and a Lotka–Volterra competition model with disease in one of the species. Hopf bifurcation and chaos are found in some of the ecoepidemiological models.
39#
發(fā)表于 2025-3-28 09:26:08 | 只看該作者
40#
發(fā)表于 2025-3-28 13:13:04 | 只看該作者
https://doi.org/10.1007/978-3-662-33091-3s are reviewed. The SI epidemic model with diffusion is reduced to a single equation model with diffusion and studied. Equilibria and their stability are discussed. Traveling wave solutions are introduced and illustrated with the SI model. Turing instability is also introduced and illustrated on an SI model with distinct diffusion rates.
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